Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter

Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal hemoglobin production,resulting in a drop in the size of red blood cells.In severe forms,it can lead to death.This genetic disorder has posed a major burden on public health wherein patients with severe thalassemia need periodic therapy of iron chelation and blood transfusion for survival.Therefore,controlling thalassemia is extremely important and is made by promoting screening to the general population,particularly among thalassemia carriers.Today Twitter is one of the most influential social media platforms for sharing opinions and discussing different topics like people’s health conditions and major public health affairs.Exploring individuals’sentiments in these tweets helps the research centers to formulate strategies to promote thalassemia screening to the public.An effective Lexiconbased approach has been introduced in this study by highlighting a classifier called valence aware dictionary for sentiment reasoning(VADER).In this study applied twitter intelligence tool(TWINT),Natural Language Toolkit(NLTK),and VADER constitute the three main tools.VADER represents a gold-standard sentiment lexicon,which is basically tailored to attitudes that are communicated by using social media.The contribution of this study is to introduce an effective Lexicon-based approach by highlighting a classifier calledVADERto analyze the sentiment of the general population,particularly among thalassemia carriers on the social media platform Twitter.In this study,the results showed that the proposed approach achieved 0.829,0.816,and 0.818 regarding precision,recall,together with F-score,respectively.The tweets were crawled using the search keywords,“thalassemia screening,”thalassemia test,“and thalassemia diagnosis”.Finally,results showed that India and Pakistan ranked the highest in mentions in tweets by the public’s conversations on thalassemia screening with 181 and 164 tweets,respectively.

Does communication increase investors’trading frequency?Evidence from a Chinese social trading platform

This study examines the impact of communication on investors’trading frequency based on a unique dataset drawn from a Chinese social trading platform.We find robust evidence that real-account portfolio owners on the platform trade more frequently under the influence of the comments posted by their leaders(the owners of portfolios they have followed).Moreover,portfolio owners are more sensitive to the quantity than to the tone of leaders’comments.Finally,both trading frequency and leaders’comments negatively impact portfolio owners’future performance.Our find-ings support the notion that social interaction promotes active investment strategies.

Cyber Development of Government Service Platform in Social Public Administration

The cyber development of government service platform is just to integrate all the superiorities of the government to strengthen its roles such as service,performance and function to drive the social development actively.Hence,the social public administration will take this opportunity to optimize the cyber information service platform to make the civic administration oriented to the social development to maximize its functions of organization,coordination and service to protrude the ascendancy of the web era so as to lay a solid foundation for the leap development of the public administration.

Cyber-Physical-Social System Between a Humanoid Robot and a Virtual Human Through a Shared Platform for Adaptive Agent Ecology

Two artificial agents(a humanoid robot and a virtual human) are enriched with various similar intelligence,autonomy, functionalities and interaction modalities. The agents are integrated in the form of a cyber-physical-social system(CPSS) through a shared communication platform to create a social ecology. In the ecology, the agents collaborate(assist each other) to perform a real-world task(search for a hidden object)for the benefits of humans. A robot-virtual human bilateral trust model is derived and a real-time trust measurement method is developed. The role of taking initiative in the collaboration is switched between the agents following a finite state machine model triggered by bilateral trust, which results in a mixedinitiative collaboration. A scheme is developed to evaluate the performance of the agents in the ecology through the CPSS.The results show that the robot and the virtual human perform satisfactorily in the collaboration through the CPSS. The results thus prove the effectiveness of the real-world ecology between artificial agents of heterogeneous realities through a shared platform based on trust-triggered mixed-initiatives. The results can help develop adaptive social ecology comprising intelligent agents of heterogeneous realities to assist humans in various tasks through collaboration between the agents in the form of a CPSS.

基于推荐机制的SCIR信息传播模型分析

[目的/意义]近年来,随着在线社交平台的出现,信息传播发生了迅速的变化。在线社交平台为了提供高质量的内容以及促进信息传播,应用了各种推荐机制,因此信息传播途径不同于以往的拓扑结构传播。把握推荐机制下的信息传播特点,有利于实现对谣言等信息的有效管控。[方法/过程]提出基于拓扑结构和推荐机制的SCIR信息传播模型,从理论上深入研究传播节点最终传播用户数量和概率。通过一系列的数值模拟,研究传播节点、点赞概率和收藏概率、创作概率等因素的影响。[结果/结论]有了推荐机制,谣言可以在社交网络中快速传播,但点赞、收藏等行为概率的提升并非会使传播效果更好,反而有可能阻碍传播。[局限]只考虑了信息传播模型中一种特定的推荐机制。今后的研究可以综合考虑不同推荐机制的具体影响,从而构建普适的基于推荐机制的信息传播模型。

Multimodal sentiment analysis for social media contents during public emergencies

Purpose:Nowadays,public opinions during public emergencies involve not only textual contents but also contain images.However,the existing works mainly focus on textual contents and they do not provide a satisfactory accuracy of sentiment analysis,lacking the combination of multimodal contents.In this paper,we propose to combine texts and images generated in the social media to perform sentiment analysis.Design/methodology/approach:We propose a Deep Multimodal Fusion Model(DMFM),which combines textual and visual sentiment analysis.We first train word2vec model on a large-scale public emergency corpus to obtain semantic-rich word vectors as the input of textual sentiment analysis.BiLSTM is employed to generate encoded textual embeddings.To fully excavate visual information from images,a modified pretrained VGG16-based sentiment analysis network is used with the best-performed fine-tuning strategy.A multimodal fusion method is implemented to fuse textual and visual embeddings completely,producing predicted labels.Findings:We performed extensive experiments on Weibo and Twitter public emergency datasets,to evaluate the performance of our proposed model.Experimental results demonstrate that the DMFM provides higher accuracy compared with baseline models.The introduction of images can boost the performance of sentiment analysis during public emergencies.Research limitations:In the future,we will test our model in a wider dataset.We will also consider a better way to learn the multimodal fusion information.Practical implications:We build an efficient multimodal sentiment analysis model for the social media contents during public emergencies.Originality/value:We consider the images posted by online users during public emergencies on social platforms.The proposed method can present a novel scope for sentiment analysis during public emergencies and provide the decision support for the government when formulating policies in public emergencies.

竞争环境下双目标零售平台销售模式选择

电子商务行业发展迅速,具有“超越利润”战略导向以实现更广泛目标的组织正变得越来越普遍,兼顾消费者利益成为企业凸显竞争优势的方式。为此,本文构建由一个制造商和两个零售平台组成的两级供应链。其中,制造商和其中一个零售平台追求自身利润最大化,另外一个零售平台追求自身利润和消费者剩余的线性组合最大化,即考虑双目标最优。本文具体考虑两个零售平台分别选择转售模式或代理模式共四种情形,进而研究双目标零售平台销售模式选择问题,及其对供应链成员最优决策和供应链整体绩效的影响。结果表明:(1)在一定条件下,双目标零售平台能获得比竞争对手更高的利润;(2)当双目标零售平台选择转售模式时,无论其竞争对手选择哪种销售模式,其双目标策略都能使供应链总体利润得到优化;(3)当双目标零售平台的竞争对手选择代理模式时,其自身根据不同情况选择转售模式或者代理模式可以使两个零售平台的销售模式选择形成均衡。

浅析使用Opensocial开发SNS应用

由Facebook引发的SNS（Social Network Service,社会化网络服务）风靡全球,让我们看到了在新一轮互联网革命中人的力量。＂草根文化＂、＂病毒式传播＂让我们越来越多地感受到,人、社会、网络的结合所产生的巨大价值和无限可能。如何将人的力量最大化,让更多的人参与价值的积聚过程,开放平台无疑是最好的方式。该文阐述了什么是SNS开放平台、SNS产业链中的各个角色以及OpenSocial产生的背景与现状。

Social Media Regulation:Models and Proposals

The article deals with the topical issue of social media regulation.It is based on the libertarian theory of economic freedom because,in our understanding,it allows the elaboration of a future-oriented human rights based-on regulatory approach.This approach is premised on both freedom of speech and the right to private initiative protection in contemporary media environment.In the analysis,the recently structured Facebook and Instagram Oversight Board for Content Decisions are also discussed.The article presents arguments for the establishment of an internal body(arbitration)that can practically resolve disputes among participants and between participants and any social media platform on a regular basis.Such a body can also support the effective application of the media codes of conduct without governmental involvement and may strengthen self-regulation of platforms.

Governments′ Path Selection of Promoting Rural Information Development——From the Perspective of Social Capital Theory

In introduction of the connoted meaning of rural information and its important role in the development of modern agriculture in our country and the development of urban and rural areas, the paper analyzes the difficulties in information construction: the first is the inadequate attendance of farmers, the low efficiency of information platform use; the second is the backward construction of information sources, which cannot meet the practical needs of information by farmers; the third is the bad situation of information exchanging. From perspective of social capital, it discusses the roles social capital factors playing in the rural information construction, among which, the information relations between farmers and information are the basis; net attendance is the necessary condition of sustainable development of rural information construction; customs afford management resources in rural information construction. Based on the above materials, the paper puts forward that it is the government who must accelerate the construction of rural information: the first is planting technic net in rural credit systems, accelerating the admission and supporting of farmers to information construction; the second is to strengthen the exchanging abilities among information platforms, upgrading the attendance degrees of farmers in rural information construction; the third is to introduce and make use of the management power of rural customs to complete an information management norm.

预付式消费政府平台法律监管的治理路径

为应对预付式消费给传统监管体系提出的挑战,一些地方政府利用信息化、互联化的优势,探索建立统一的互联网监管平台。这些平台存在着备案参与度低、平台风险警示制度缺乏互联互通等困境,究其根源是由于政府管控型监管理念与风险预防逻辑不适应;监管权力配置模式过于僵化;制度规范滞后于监管需求;监管工具的创新性不足。为治理上述困境,亟需从政府管控监管理念转换为多元协同监管理念;构建“部门协同、社会共担”的监管权力配置格局;健全“风险预防、程序保障”为导向的监管规范体系;创新监管工具以提高风险预防的精准性等四个方面的改革路径,为治理政府主导型预付式消费互联网平台的监管困境提供思路。

社交商务平台的同质性、茧房效应及破解策略研究

社交商务作为数字经济的重要组成,拥有巨大的市场潜力,但也面临着平台发展模式同质化等问题,导致形成固化用户的自我认识和网络信息行为的信息茧房。由于社交媒体的多样性、群体关系复杂性,茧房效应与社交商务结合的研究有待进一步挖掘。通过中国知网和Web of Science核心集,截至2023年3月31日,检索并筛选获取606篇相关文献,运用社会网络分析方法进行分析。其中300篇中文文献重点探讨个性化推荐算法对信息茧房形成的影响,306篇英文文献更多关注信息茧房与平台和用户行为之间的关系。基于信息茧房相关概念的研究明确其内涵和特征,根据平台、算法和用户3个维度的作用机制分析构建信息同质化视角下信息茧房形成机制框架,即社交平台内外部信息趋同导致了用户选择同质化、平台内容同质化以及用户群体同质化问题,并以正反馈的形式不断加强,最终形成信息茧房。由此,基于同质化视角,分别从政府、平台和用户3个主体层面提出社交商务平台应对信息茧房的策略。

男男性行为人群对HIV感染者在互联网社交平台公开自己感染状态的态度与关注研究

目的了解男男性行为人群对HIV感染者在社交平台公开HIV感染状态的态度及关切度。方法2020年7-8月,在男同社交APP发布是否支持感染者公开感染状态的观点动态,邀请平台用户表达态度并评论。运用扎根理论对态度及评论信息进行定性分析。结果共568人表达态度,其中“支持”公开感染状态者占53.0%。120人(120/568,21.1%)的评论分析显示,30.0%的用户认为无论在什么情况下都不应该公开感染者身份,15.8%认为应该无条件公开,超过半数用户(54.2%)的态度介于两者之间。用户评论集中指向五个概念:隐私、自愿、告知、歧视和责任,表达的含义为“尊重个人隐私,提供选项用户自行决定,反歧视的原则下鼓励感染者践行自己的责任和义务”。结论用户态度多数介于有条件“公开”或“不公开”之间,绝对支持或反对相对较少。用户的关切表明,如果将互联网社交媒体端公开HIV感染状态作为一项HIV预防措施,需采取措施强调各利益相关方的核心关切。

考虑消费者类型的社交媒体电商入侵策略研究

本文构建了制造商、零售商和社交媒体构成的双渠道供应链,其中社交媒体为不同渠道提供广告投放服务,并选择是否开通销售平台与零售渠道竞争。本文考虑市场中包含普通消费者和社交消费者,分析消费者社交属性、社交媒体入侵成本以及直销渠道运营成本对社交媒体入侵决策以及制造商、零售商最优收益的影响。研究发现:(1)对社交媒体而言,并非入侵难度越低,其越偏好入侵。当入侵成本超过一定阈值,即使入侵难度较低,社交媒体的最优策略也可能是不入侵。(2)社交媒体入侵难度低意味着直销渠道优势较大,对零售商是不利的。然而当社交消费者规模扩大时,即使入侵难度很低,零售商也可以从社交媒体入侵中受益。(3)直销渠道运营成本越低,社交媒体销售平台对制造商吸引力越小。但在某些情形下,即使该成本低于社交媒体设定的佣金水平,制造商也有动机委托社交媒体代理销售。最后,本文扩展并对比了没有社交消费者的情形,结果表明,社交消费者的存在并不总是有利于社交媒体入侵。

“平台”与我国县域基层法治秩序的生成——浙江海宁社会治理实践的观察

基层社会治理“平台”是我国县域范围构建具有中国特色法治秩序的重要实践形式。在提升县域基层社会治理水平的过程中,平台被打造成一个由不同政府机构、不同社会组织与社会成员通过协调、协商、议论等方式博弈以解决与民生密切相关的各种类型问题的工作机制,客观上已经助力生成了法治秩序不可或缺的不同主体之间展开话语交流的公共空间。在浙江海宁,平台被用于促进实现公众与企业合法权利、改造和规范行使公共权力、保障社会稳定与居民安居乐业,以公开促公正公平,有效提升了法律在基层的实施能力。在法治建设正在寻求新的突破之际,有关平台建设的实践具有一定的可借鉴的普遍意义。

“搭台共治”式环境跨域治理:新安江生态补偿协作网络演化研究

建立横向生态补偿机制、促进区域协调发展是当前环境工作的战略目标。运用社会网络分析方法,对新安江生态补偿试点自2012年至今的各行动主体合作网络进行整体特征、个体节点和聚类结构的分析,发现新安江生态补偿治理中各级政府扮演差异化的角色,表现出平台治理的特性:通过系统化机制构建而非对参与者的直接约束实现治理,通过结构性混合来实现不同主体的松散联结,平台参与者具有明显异质性,平台处于持续的演化中。新安江生态补偿试点治理过程说明我国已经产生了环境治理领域的平台治理实践,并回应了“协作平台”这一治理理论最新方向。

数据要素交易多边平台研究:现状、进路与框架

为响应国家政策,构建统一完善的数据要素流通交易市场,对当前数据要素的流通交易过程进行梳理分析,为数据要素平台的构建提供思路,对推进我国数据要素市场化配置与数字经济发展具有战略意义。通过案例分析与文献梳理分析了数据要素交易多边市场中的主体及其之间的逻辑关系,总结市场现状中的痛点问题,并基于价值链理论以及社会技术系统理论提出了数据要素交易多边平台的突破路径以及研究框架,以期为数据要素流通交易市场建设提供参考路径。

社交媒体平台品牌推文影响用户参与形成机制探讨——基于图像数据与文本数据的实证检验

社交媒体平台品牌推文影响用户参与形成机制是企业通过官方账号发布品牌推文促进用户参与以提高营销效果的运行方式。笔者基于信息加工理论和用户参与理论,借鉴现有相关文献,构建社交媒体平台品牌推文影响用户参与形成机制研究模型,以新浪微博平台发布官方品牌推文为研究样本采集有效图像数据和文本数据,通过实证检验社交媒体平台品牌推文中图像特征和文本特征的不同指标对用户参与行为的影响以及影响的方向、程度等,证实了本文中对社交媒体平台品牌推文与用户参与二者之间内在关联性的研究假设。本研究引用心理学、美学、传播学等相关研究成果,尝试性地跨学科探讨社交媒体与品牌战略携手共进的现实课题,研究成果在一定程度上拓展了营销学理论的应用边界,丰富了社交媒体营销和非结构化数据研究方面的相关文献,研究结论为企业选择社交媒体平台品牌战略以及提高品牌管理效果提供理论依据。

人机交互场景下用户知识吸收能力影响因素的组态分析

基于社会认知理论,采用模糊集定性比较分析(fsQCA)方法,探讨在人机交互场景下,平台环境和个体认知如何互动影响平台用户的知识吸收能力。研究发现:环境因素是人机互动知识共享的基础,而与个体认知因素相匹配的交互设计是提升吸收效能的关键。促进强吸收能力形成的核心条件有强联结、高信任的环境因素和强自我效能和高结果期望的认知因素;导致吸收能力弱的核心条件则是用户之间过大的知识距离和过弱的联结强度等环境因素。研究结论为知识平台提升用户知识吸收能力提供了理论依据与现实启示,为未来提升人机交互设计促进知识共享的研究提供参考借鉴。

企业社交媒体平台印象管理策略——基于新浪微博数据的内容分析

互联网时代,企业使用社交媒体平台进行印象管理能够改变受众认知,树立良好的企业形象。探讨企业在社交媒体平台上印象管理策略分类,利用数据爬虫软件搜集新浪微博品牌排行榜前10名的企业微博推文,通过内容分析法得出企业在社交媒体平台上经常使用的具体策略有四种:自我呈现、企业社会责任、道歉声明、辩解对抗。此外,还发现企业在道歉声明中还会结合自我呈现或者辩解进行策略地组合应用。